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Found 4 papers, 4 papers with code
Exploiting Summarization Data to Help Text Simplification
One of the major problems with text simplification is the lack of high-quality data.
Nearest Neighbor Knowledge Distillation for Neural Machine Translation
k-nearest-neighbor machine translation (NN-MT), proposed by Khandelwal et al. (2021), has achieved many state-of-the-art results in machine translation tasks.
Dependency-based Mixture Language Models
Various models have been proposed to incorporate knowledge of syntactic structures into neural language models.
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling
Neural text generation models are likely to suffer from the low-diversity problem.
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